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Waynesburg University · Courses

DSC

5 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.

DSC 205Introduction to Data Science3

This is an introductory course for the Data Science major. Data Science is a study of information, what it represents and how it can be used as a valuable resource for answering questions and forming strategies. Student will be introduced to several software tools used in data science and learn how to formulate hypotheses concerning data,

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2023-2024
Source
www.waynesburg.edu
DSC 305Data Analysis and Visualization3

This course will introduce students to the field by covering trending modeling, analysis and visualization techniques in the field of data science. It will emphasize practical challenges involving complex real-world data and include several case studies and hands-on work with the R programming language. Prerequisites: DSC 205 or MAT 215. Fall

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2023-2024
Source
www.waynesburg.edu
DSC 306Data Mining3

This course serves as an introduction to data mining for students. Students will learn about many commonly used methods for predictive and descriptive analytics tasks. They will also learn to assess the methods’ predictive and practical utility. Pre-requisites: CSC 208 and DSC 205, or DSC 305. Spring

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2023-2024
Source
www.waynesburg.edu
DSC 405Web Analytics and Mining3

This course covers the areas of web analytics, text mining, web mining, and practical application domains. Web analytics studies the metrics of web sites. Google analytics is used for collection of web site data and doing the analysis. Text mining covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. Web crawlers, social web and game metrics and the Internet of Things (IoT) will be discussed. Pre-requisite: DSC 306. Fall

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2023-2024
Source
www.waynesburg.edu
DSC 406Machine Learning3

Machine learning is the science of getting computers to act without being explicitly programmed. This course is designed to give the student a thorough grounding in the methodologies, technologies, mathematics and algorithms currently needed by data science professionals to build data products using machine learning. Pre-requisite: DSC 306.

Subject
DSC
Credits (min)
3
Credits (max)
3
Credit unit
credits
Type
course
Edition
2023-2024
Source
www.waynesburg.edu

Source: Waynesburg University's catalog, linked per course · table learning_unit · CourseShelf publish 59